Merge pull request #85 from jpcima/multiply-add

Add multiplyAdd with fixed gain
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JP Cimalando 2020-03-02 16:45:07 +01:00 committed by GitHub
commit 2e5cdba275
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7 changed files with 219 additions and 2 deletions

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@ -0,0 +1,78 @@
// SPDX-License-Identifier: BSD-2-Clause
// This code is part of the sfizz library and is licensed under a BSD 2-clause
// license. You should have receive a LICENSE.md file along with the code.
// If not, contact the sfizz maintainers at https://github.com/sfztools/sfizz
#include "SIMDHelpers.h"
#include <benchmark/benchmark.h>
#include <random>
#include <numeric>
#include <vector>
#include <cmath>
#include <iostream>
class MultiplyAddFixedGain : public benchmark::Fixture {
public:
void SetUp(const ::benchmark::State& state) {
std::random_device rd { };
std::mt19937 gen { rd() };
std::uniform_real_distribution<float> dist { 0, 1 };
input = std::vector<float>(state.range(0));
output = std::vector<float>(state.range(0));
gain = dist(gen);
std::fill(output.begin(), output.end(), 1.0f );
std::generate(input.begin(), input.end(), [&]() { return dist(gen); });
}
void TearDown(const ::benchmark::State& state [[maybe_unused]]) {
}
float gain = {};
std::vector<float> input;
std::vector<float> output;
};
BENCHMARK_DEFINE_F(MultiplyAddFixedGain, Straight)(benchmark::State& state) {
for (auto _ : state)
{
for (int i = 0; i < state.range(0); ++i)
output[i] += gain * input[i];
}
}
BENCHMARK_DEFINE_F(MultiplyAddFixedGain, Scalar)(benchmark::State& state) {
for (auto _ : state)
{
sfz::multiplyAdd<float, false>(gain, input, absl::MakeSpan(output));
}
}
BENCHMARK_DEFINE_F(MultiplyAddFixedGain, SIMD)(benchmark::State& state) {
for (auto _ : state)
{
sfz::multiplyAdd<float, true>(gain, input, absl::MakeSpan(output));
}
}
BENCHMARK_DEFINE_F(MultiplyAddFixedGain, Scalar_Unaligned)(benchmark::State& state) {
for (auto _ : state)
{
sfz::multiplyAdd<float, false>(gain, absl::MakeSpan(input).subspan(1), absl::MakeSpan(output).subspan(1));
}
}
BENCHMARK_DEFINE_F(MultiplyAddFixedGain, SIMD_Unaligned)(benchmark::State& state) {
for (auto _ : state)
{
sfz::multiplyAdd<float, true>(gain, absl::MakeSpan(input).subspan(1), absl::MakeSpan(output).subspan(1));
}
}
BENCHMARK_REGISTER_F(MultiplyAddFixedGain, Straight)->RangeMultiplier(4)->Range(1 << 2, 1 << 12);
BENCHMARK_REGISTER_F(MultiplyAddFixedGain, Scalar)->RangeMultiplier(4)->Range(1 << 2, 1 << 12);
BENCHMARK_REGISTER_F(MultiplyAddFixedGain, SIMD)->RangeMultiplier(4)->Range(1 << 2, 1 << 12);
BENCHMARK_REGISTER_F(MultiplyAddFixedGain, Scalar_Unaligned)->RangeMultiplier(4)->Range(1 << 2, 1 << 12);
BENCHMARK_REGISTER_F(MultiplyAddFixedGain, SIMD_Unaligned)->RangeMultiplier(4)->Range(1 << 2, 1 << 12);
BENCHMARK_MAIN();

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@ -47,6 +47,7 @@ target_link_libraries(bm_ADSR PRIVATE sfizz::sfizz)
sfizz_add_benchmark(bm_add BM_add.cpp)
sfizz_add_benchmark(bm_multiplyAdd BM_multiplyAdd.cpp)
sfizz_add_benchmark(bm_multiplyAddFixedGain BM_multiplyAddFixedGain.cpp)
sfizz_add_benchmark(bm_subtract BM_subtract.cpp)
sfizz_add_benchmark(bm_copy BM_copy.cpp)
sfizz_add_benchmark(bm_pan BM_pan.cpp)

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@ -11,6 +11,7 @@
#include "Debug.h"
#include "LeakDetector.h"
#include "SIMDHelpers.h"
#include "absl/types/span.h"
#include <array>
#include <initializer_list>
#include <type_traits>
@ -306,6 +307,43 @@ public:
}
}
/**
* @brief Add another AudioSpan with a compatible number of channels to the current
* AudioSpan, applying an elementwise gain to the operand.
*
* @param other the other AudioSpan
* @param gain the gain to apply
*/
template <class U, size_t N, typename = std::enable_if<N <= MaxChannels>>
void multiplyAdd(AudioSpan<U, N>& other, absl::Span<const Type> gain)
{
static_assert(!std::is_const<Type>::value, "Can't allow mutating operations on const AudioSpans");
ASSERT(other.getNumChannels() == numChannels);
ASSERT(gain.size() == numFrames);
if (other.getNumChannels() == numChannels) {
for (size_t i = 0; i < numChannels; ++i)
sfz::multiplyAdd(gain, other.getConstSpan(i), getSpan(i));
}
}
/**
* @brief Add another AudioSpan with a compatible number of channels to the current
* AudioSpan, applying a fixed gain to the operand.
*
* @param other the other AudioSpan
* @param gain the gain to apply
*/
template <class U, size_t N, typename = std::enable_if<N <= MaxChannels>>
void multiplyAdd(AudioSpan<U, N>& other, const Type gain)
{
static_assert(!std::is_const<Type>::value, "Can't allow mutating operations on const AudioSpans");
ASSERT(other.getNumChannels() == numChannels);
if (other.getNumChannels() == numChannels) {
for (size_t i = 0; i < numChannels; ++i)
sfz::multiplyAdd(gain, other.getConstSpan(i), getSpan(i));
}
}
/**
* @brief Copy the elements of another AudioSpan with a compatible number of channels
* to the current AudioSpan.

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@ -76,6 +76,12 @@ void sfz::multiplyAdd<float, true>(absl::Span<const float> gain, absl::Span<cons
multiplyAdd<float, false>(gain, input, output);
}
template <>
void sfz::multiplyAdd<float, true>(const float gain, absl::Span<const float> input, absl::Span<float> output) noexcept
{
multiplyAdd<float, false>(gain, input, output);
}
template <>
float sfz::loopingSFZIndex<float, true>(absl::Span<const float> jumps, absl::Span<float> leftCoeff, absl::Span<float> rightCoeff, absl::Span<int> indices, float floatIndex, float loopEnd, float loopStart) noexcept
{

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@ -491,6 +491,12 @@ namespace _internals {
{
*output++ += (*gain++) * (*input++);
}
template <class T>
inline void snippetMultiplyAdd(const T gain, const T*& input, T*& output)
{
*output++ += gain * (*input++);
}
}
/**
@ -520,6 +526,20 @@ void multiplyAdd(absl::Span<const T> gain, absl::Span<const T> input, absl::Span
template <>
void multiplyAdd<float, true>(absl::Span<const float> gain, absl::Span<const float> input, absl::Span<float> output) noexcept;
template <class T, bool SIMD = SIMDConfig::multiplyAdd>
void multiplyAdd(const T gain, absl::Span<const T> input, absl::Span<T> output) noexcept
{
ASSERT(input.size() <= output.size());
auto* in = input.begin();
auto* out = output.begin();
auto* sentinel = out + std::min(output.size(), input.size());
while (out < sentinel)
_internals::snippetMultiplyAdd<T>(gain, in, out);
}
template <>
void multiplyAdd<float, true>(const float gain, absl::Span<const float> input, absl::Span<float> output) noexcept;
namespace _internals {
template <class T>
inline void snippetRampLinear(T*& output, T& value, T step)

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@ -316,6 +316,29 @@ void sfz::multiplyAdd<float, true>(absl::Span<const float> gain, absl::Span<cons
_internals::snippetMultiplyAdd<float>(g, in, out);
}
template <>
void sfz::multiplyAdd<float, true>(const float gain, absl::Span<const float> input, absl::Span<float> output) noexcept
{
auto* in = input.begin();
auto* out = output.begin();
const auto size = std::min(output.size(), input.size());
const auto* lastAligned = prevAligned(output.begin() + size);
while (unaligned(out, in) && out < lastAligned)
_internals::snippetMultiplyAdd<float>(gain, in, out);
auto mmGain = _mm_set1_ps(gain);
while (out < lastAligned) {
auto mmOut = _mm_load_ps(out);
mmOut = _mm_add_ps(_mm_mul_ps(mmGain, _mm_load_ps(in)), mmOut);
_mm_store_ps(out, mmOut);
incrementAll<TypeAlignment>(in, out);
}
while (out < output.end())
_internals::snippetMultiplyAdd<float>(gain, in, out);
}
template <>
float sfz::loopingSFZIndex<float, true>(absl::Span<const float> jumps,
absl::Span<float> leftCoeffs,

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@ -606,6 +606,57 @@ TEST_CASE("[Helpers] Add (SIMD vs scalar)")
REQUIRE(approxEqual<float>(outputScalar, outputSIMD));
}
TEST_CASE("[Helpers] MultiplyAdd (SIMD)")
{
std::array<float, 5> gain { 0.0f, 0.1f, 0.2f, 0.3f, 0.4f };
std::array<float, 5> input { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f };
std::array<float, 5> output { 5.0f, 4.0f, 3.0f, 2.0f, 1.0f };
std::array<float, 5> expected { 5.0f, 4.2f, 3.6f, 3.2f, 3.0f };
sfz::multiplyAdd<float, true>(gain, input, absl::MakeSpan(output));
REQUIRE(output == expected);
}
TEST_CASE("[Helpers] MultiplyAdd (SIMD vs scalar)")
{
std::vector<float> gain(bigBufferSize);
std::vector<float> input(bigBufferSize);
std::vector<float> outputScalar(bigBufferSize);
std::vector<float> outputSIMD(bigBufferSize);
absl::c_iota(gain, 0.0f);
absl::c_iota(input, 0.0f);
absl::c_iota(outputScalar, 0.0f);
absl::c_iota(outputSIMD, 0.0f);
sfz::multiplyAdd<float, false>(gain, input, absl::MakeSpan(outputScalar));
sfz::multiplyAdd<float, true>(gain, input, absl::MakeSpan(outputSIMD));
REQUIRE(approxEqual<float>(outputScalar, outputSIMD));
}
TEST_CASE("[Helpers] MultiplyAdd fixed gain (SIMD)")
{
float gain = 0.3f;
std::array<float, 5> input { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f };
std::array<float, 5> output { 5.0f, 4.0f, 3.0f, 2.0f, 1.0f };
std::array<float, 5> expected { 5.3f, 4.6f, 3.9f, 3.2f, 2.5f };
sfz::multiplyAdd<float, true>(gain, input, absl::MakeSpan(output));
REQUIRE(output == expected);
}
TEST_CASE("[Helpers] MultiplyAdd fixed gain (SIMD vs scalar)")
{
float gain = 0.3f;
std::vector<float> input(bigBufferSize);
std::vector<float> outputScalar(bigBufferSize);
std::vector<float> outputSIMD(bigBufferSize);
absl::c_iota(input, 0.0f);
absl::c_iota(outputScalar, 0.0f);
absl::c_iota(outputSIMD, 0.0f);
sfz::multiplyAdd<float, false>(gain, input, absl::MakeSpan(outputScalar));
sfz::multiplyAdd<float, true>(gain, input, absl::MakeSpan(outputSIMD));
REQUIRE(approxEqual<float>(outputScalar, outputSIMD));
}
TEST_CASE("[Helpers] Subtract")
{
std::array<float, 5> input { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f };
@ -717,7 +768,7 @@ TEST_CASE("[Helpers] Mean Squared (SIMD vs scalar)")
REQUIRE(sfz::meanSquared<float, false>(input) == sfz::meanSquared<float, true>(input));
}
TEST_CASE("[Helpers] Cumulative sum ")
TEST_CASE("[Helpers] Cumulative sum")
{
std::array<float, 6> input { 1.1f, 1.2f, 1.3f, 1.4f, 1.5f, 1.6f }; // 1.1 2.3 3.6 5.0f 6.5 8.1
std::array<float, 6> output;
@ -737,7 +788,7 @@ TEST_CASE("[Helpers] Cumulative sum (SIMD vs Scalar)")
REQUIRE(approxEqual<float>(outputScalar, outputSIMD));
}
TEST_CASE("[Helpers] Diff ")
TEST_CASE("[Helpers] Diff")
{
std::array<float, 6> input { 1.1f, 2.3f, 3.6f, 5.0f, 6.5f, 8.1f };
std::array<float, 6> output;